User Tools

Site Tools


readme.pedictf90

Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Next revisionBoth sides next revision
readme.pedictf90 [2018/07/12 21:50] – created andresreadme.pedictf90 [2020/03/13 18:51] yutaka
Line 2: Line 2:
  
 This is program is used to do cross-validations. It reads a blupf90 parameter file, a solutions file This is program is used to do cross-validations. It reads a blupf90 parameter file, a solutions file
-and a data file+and a data file.
 It needs ''OPTION include_effects'' followed by a series of effects. It needs ''OPTION include_effects'' followed by a series of effects.
 It computes It computes
-y_hat = sum of estimates of the included effects + 
-y_star = y corrected by the other (not included) effects +  * y_hat = sum of estimates of the included effects 
-residual = y - included effects (not a true residual)+  y_star = y corrected by the other (not included) effects 
 +  residual = y - included effects (not a true residual)
  
 For instance consider For instance consider
  
-y = herd + age + animal + e+  y = herd + age + animal + e
  
-with ''OPTION include_effects 3''+with ''OPTION include_effects 3''.
  
-y_hat = animal_hat +  * y_hat = animal_hat 
-ystar = y - herd_hat - age_hat +  ystar = y - herd_hat - age_hat
-Which makes cor(y_hat,y_star) = cor(ebv, corrected y) which is a measure of accuracy+
  
-it outputs the correlation between y_hat and y_star, for instance cor(ystar,yhat)=cor(u+euhat)+Which makes cor(y_hat,y_star) = cor(ebvcorrected ywhich is a measure of accuracy.
  
-and outputs these columns into a file, together with animal id (if there is animal in the model) or record number (if not)+It outputs the correlation between y_hat and y_star, for instance cor(ystar,yhat)=cor(u+e, uhat) and outputs these columns into a file, together with animal id (if there is animal in the model) or record number (if not).
  
 In addition, if animal effect is in the model, it produces a file with ebvs from the solutions file. In addition, if animal effect is in the model, it produces a file with ebvs from the solutions file.
 +
 +==== Output files ====
 +
 +=== yhat_residual ===
 +
 +The main file is ''yhat_residual'', which has corrected phenotypes and predicted residuals.
 +The number of columns in this file depend on the number of traits (N).
 +
 +  * Column 1: Animal ID (renumbered i.e., same as the 1st column in renaddxx.ped)
 +  * Column 2 to N+1: "y_star" explained above
 +  * Column N+2 to 2N+1: "y_hat" explained above
 +  * Column 2N+2 to 3N+1: "residual" explained above
 + 
 +
 +

Donate Powered by PHP Valid HTML5 Valid CSS Driven by DokuWiki